AMR Country Hotspots

##  Family: zero_inflated_poisson 
##   Links: mu = log; zi = logit 
## Formula: n_amr_events ~ ln_livestock_consumption_kg_per_capita + ln_migrant_pop_perc + ln_tourism_inbound_perc + ln_tourism_outbound_perc + ab_export_perc + health_expend_perc + human_consumption_ddd + english_spoken + ln_gdp_per_capita + offset(ln_population) 
##          zi ~ ln_pubs_sum_per_capita + ln_gdp_per_capita + ln_population + english_spoken
##    Data: data[[i]] (Number of observations: 198) 
## Samples: 120 chains, each with iter = 2000; warmup = 1000; thin = 1;
##          total post-warmup samples = 120000
## 
## Population-Level Effects: 
##                                        Estimate Est.Error l-95% CI
## Intercept                                -18.64      0.87   -20.29
## zi_Intercept                              28.99      6.39    17.17
## ln_livestock_consumption_kg_per_capita    -0.26      0.07    -0.39
## ln_migrant_pop_perc                        0.27      0.06     0.16
## ln_tourism_inbound_perc                    0.14      0.13    -0.15
## ln_tourism_outbound_perc                   0.14      0.19    -0.29
## ab_export_perc                             4.38      1.69     1.09
## health_expend_perc                         0.06      0.02     0.02
## human_consumption_ddd                      0.07      0.02     0.04
## english_spoken                            -0.66      0.17    -1.04
## ln_gdp_per_capita                          0.06      0.09    -0.13
## zi_ln_pubs_sum_per_capita                  0.02      0.21    -0.39
## zi_ln_gdp_per_capita                      -1.34      0.28    -1.93
## zi_ln_population                          -1.01      0.21    -1.45
## zi_english_spoken                         -1.45      0.66    -2.79
##                                        u-95% CI Eff.Sample Rhat
## Intercept                                -16.82        115 1.46
## zi_Intercept                              42.34      34128 1.01
## ln_livestock_consumption_kg_per_capita    -0.11         91 1.71
## ln_migrant_pop_perc                        0.38         79 2.04
## ln_tourism_inbound_perc                    0.35         65 3.67
## ln_tourism_outbound_perc                   0.48         64 3.98
## ab_export_perc                             7.50         79 2.04
## health_expend_perc                         0.11         83 1.90
## human_consumption_ddd                      0.10         82 1.94
## english_spoken                            -0.37         73 2.37
## ln_gdp_per_capita                          0.21         93 1.69
## zi_ln_pubs_sum_per_capita                  0.45      44989 1.00
## zi_ln_gdp_per_capita                      -0.84      33830 1.00
## zi_ln_population                          -0.62       4932 1.01
## zi_english_spoken                         -0.21       1320 1.03
## 
## Samples were drawn using sampling(NUTS). For each parameter, Eff.Sample 
## is a crude measure of effective sample size, and Rhat is the potential 
## scale reduction factor on split chains (at convergence, Rhat = 1).

## [1] TRUE